J. S. Nanditha

557 total citations · 1 hit paper
14 papers, 333 citations indexed

About

J. S. Nanditha is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, J. S. Nanditha has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 6 papers in Water Science and Technology and 3 papers in Atmospheric Science. Recurrent topics in J. S. Nanditha's work include Hydrology and Drought Analysis (10 papers), Flood Risk Assessment and Management (9 papers) and Climate variability and models (8 papers). J. S. Nanditha is often cited by papers focused on Hydrology and Drought Analysis (10 papers), Flood Risk Assessment and Management (9 papers) and Climate variability and models (8 papers). J. S. Nanditha collaborates with scholars based in India, United States and France. J. S. Nanditha's co-authors include Vimal Mishra, Urmin Vegad, Swarup Dangar, Anuj Prakash Kushwaha, Raj Pal Singh, Shanti Shwarup Mahto, Balaji Rajagopalan, Karin van der Wiel, Upmanu Lall and Udit Bhatia and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

J. S. Nanditha

13 papers receiving 331 citations

Hit Papers

The Pakistan Flood of Aug... 2023 2026 2024 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. S. Nanditha India 8 281 123 109 55 25 14 333
Anuj Prakash Kushwaha India 6 178 0.6× 68 0.6× 87 0.8× 37 0.7× 27 1.1× 11 251
Ghaith Falah Ziarh Malaysia 9 251 0.9× 93 0.8× 138 1.3× 52 0.9× 41 1.6× 13 317
Mesgana Seyoum Gizaw Canada 8 243 0.9× 150 1.2× 101 0.9× 71 1.3× 42 1.7× 9 342
Deen Dayal India 9 263 0.9× 128 1.0× 68 0.6× 124 2.3× 31 1.2× 25 342
Ahmet Iyad Ceyhunlu Türkiye 10 257 0.9× 105 0.9× 82 0.8× 65 1.2× 30 1.2× 25 317
Linda Speight United Kingdom 8 320 1.1× 198 1.6× 142 1.3× 110 2.0× 14 0.6× 24 421
Parthkumar Modi United States 6 241 0.9× 132 1.1× 79 0.7× 48 0.9× 25 1.0× 12 283
Timo Kelder United Kingdom 9 324 1.2× 138 1.1× 156 1.4× 35 0.6× 20 0.8× 11 384
Hisaya Sawano Japan 9 229 0.8× 150 1.2× 64 0.6× 44 0.8× 17 0.7× 20 288
Ruqayah Mohammed Iraq 12 221 0.8× 123 1.0× 49 0.4× 69 1.3× 34 1.4× 27 328

Countries citing papers authored by J. S. Nanditha

Since Specialization
Citations

This map shows the geographic impact of J. S. Nanditha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. S. Nanditha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. S. Nanditha more than expected).

Fields of papers citing papers by J. S. Nanditha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. S. Nanditha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. S. Nanditha. The network helps show where J. S. Nanditha may publish in the future.

Co-authorship network of co-authors of J. S. Nanditha

This figure shows the co-authorship network connecting the top 25 collaborators of J. S. Nanditha. A scholar is included among the top collaborators of J. S. Nanditha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. S. Nanditha. J. S. Nanditha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Nanditha, J. S., Gabriele Villarini, & Philippe Naveau. (2025). Assessing future changes in daily precipitation extremes across the contiguous United States with the extended Generalized Pareto distribution. Journal of Hydrology. 659. 133212–133212.
2.
Nanditha, J. S., Gabriele Villarini, Hanbeen Kim, & Philippe Naveau. (2025). Causal Attribution of the Interannual Variability in Flood Peaks Through Bayesian Networks. Water Resources Research. 61(6). 1 indexed citations
3.
Nanditha, J. S., Gabriele Villarini, Hanbeen Kim, & Philippe Naveau. (2024). Strong Linkage Between Observed Daily Precipitation Extremes and Anthropogenic Emissions Across the Contiguous United States. Geophysical Research Letters. 51(20). 2 indexed citations
4.
Mishra, Vimal, et al.. (2024). Drivers, changes, and impacts of hydrological extremes in India: A review. Wiley Interdisciplinary Reviews Water. 11(5). 12 indexed citations
5.
Nanditha, J. S. & Vimal Mishra. (2024). Projected increase in widespread riverine floods in India under a warming climate. Journal of Hydrology. 630. 130734–130734. 14 indexed citations
6.
Nanditha, J. S., Anuj Prakash Kushwaha, Raj Pal Singh, et al.. (2023). The Pakistan Flood of August 2022: Causes and Implications. Earth s Future. 11(3). 144 indexed citations breakdown →
7.
Nanditha, J. S. & Vimal Mishra. (2023). Drivers of Widespread Floods in Indian River Basins. Journal of Hydrometeorology. 25(11). 1593–1606. 5 indexed citations
8.
Nanditha, J. S., Balaji Rajagopalan, & Vimal Mishra. (2022). Combined signatures of atmospheric drivers, soil moisture, and moisture source on floods in Narmada River basin, India. Climate Dynamics. 59(9-10). 2831–2851. 20 indexed citations
9.
Nanditha, J. S., et al.. (2022). A Bayesian Hierarchical Framework for Postprocessing Daily Streamflow Simulations across a River Network. Journal of Hydrometeorology. 23(6). 947–963. 4 indexed citations
10.
Nanditha, J. S. & Vimal Mishra. (2022). Multiday Precipitation Is a Prominent Driver of Floods in Indian River Basins. Water Resources Research. 58(7). 42 indexed citations
11.
Nanditha, J. S. & Vimal Mishra. (2021). On the need of ensemble flood forecast in India. 12. 100086–100086. 53 indexed citations
12.
Rajagopalan, Balaji, et al.. (2021). A Bayesian Hierarchical Network Model for Daily Streamflow Ensemble Forecasting. Water Resources Research. 57(9). 15 indexed citations
13.
Nanditha, J. S., et al.. (2020). A Coupled Physical-Statistical Model for Daily Streamflow Forecasting. 1 indexed citations
14.
Nanditha, J. S., et al.. (2020). A seven-fold rise in the probability of exceeding the observed hottest summer in India in a 2 °C warmer world. Environmental Research Letters. 15(4). 44028–44028. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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